The integration of digital twin (DT) technology in the fashion industry has attracted significant attention due to its potential to revolutionize product design, manufacturing processes, and supply chain management. As digital replicas of physical products and systems, digital twins enable a seamless connection between the virtual and physical worlds, allowing for real-time data analysis, simulation, and operational optimization. This technology plays a crucial role in sustainable development, as it helps fashion brands enhance efficiency, reduce waste, and improve production workflows. This research paper examines the key drivers and barriers influencing the adoption of digital twins in the fashion industry, highlighting the transformative potential of this technology. On the basis of the existing literature, the study identifies factors influencing digital twin adoption, categorizing them into broad themes. A structured questionnaire was developed for a primary survey, targeting industry professionals and experts familiar with digital twin (DT) technology specifically from fashion industry. The study’s findings emphasize the key drivers of digital twin adoption in fashion, including enhanced design and personalization, streamlined operations across the supply chain, and sustainability improvements. Additionally, the research identifies challenges hindering effective implementation, such as high costs, data management complexities, product lifecycle integration issues, and the need for organizational transformation and workforce skill development. The insights derived from this research provide valuable guidance for fashion industry stakeholders, technology developers, and policymakers, supporting strategic decision-making and the effective deployment of digital twins. This study contributes to a deeper understanding of how digital twin technology can reshape the fashion industry and drive innovation toward a more sustainable and efficient future.